No wizard, just you and the data

What’s the hardest part of training a new data analyst? Resetting the trainee’s mindset.

“They start out with the idea that there’s a right answer,” says Joe Mako.

Joe’s leaving his job — where about one year ago he began analyzing data — to go work for the producer of Lyza. Lyzasoft CEO Scott Davis sees him as a “prototype” of a kind of creative, resourceful analyst that Lyza was designed for. Joe will engage with other analysts to evangelize Lyza and to help new users ease into the flow.

Joe, 29 and a veteran of two Army tours in Iraq, started out on the help desk. He answered calls from within the company, an ISP. Many callers couldn’t or wouldn’t analyze their own data, so Joe did it for them. His boss also enlisted his help — and now won’t dare go without a backup.

The first people he’ll help get into the flow are the two women who’re replacing him, and he’s got to do before he starts at Lyzasoft on November 9. They’re some of only a few in the his group who applied. Most others refused the “boring” work with “ugly” data.

New users, he says, want to know, “Where’s my wizard?” There is none. “But that’s why I enjoy these tools.” He uses Lyza and Tableau primarily. “They stay out of my way. They enable me. It’s just me and the data. … That’s what’s neat. But [new users] don’t know where to start.”

“I’m handed crazy files without any structure,” he says. The first thing new users have to know is that, no matter how ugly the data may be, it really can be cleaned up. He demonstrated to his new trainees, he says, and “they were blown away.” After that, he started showing them how they can clean up data on their own.

He explained basic steps and functions. Then he showed them how to combine tools, such as how to use two functions in sequence. And deeper still.

“It takes time playing to figure out where you need to get to,” he says. “You have to just go and play. If one thing doesn’t work, you try something else.”

“I always thought that data was exact,” he says. “If not, it was garbage and I’d throw it out.” But he later learned that there’s usually only a portion that’s garbage — that somewhere within the crazy mess there’s a story. “Even if every data point is wrong, there still might be some trend you can see. If there’s a bunch of ugly data, how do you figure what he story is?” It takes a willingness to figure it out, to untangle it, to find out what’s in there.

That’s a skill, not a talent, he says. “I’ve watched [his two replacements] get it closer and closer, learning to merge other data in, to reshape it and finally produce the output.”

Closer and closer. Business will trudge ahead, training a Joe here and a Joe there until people don’t complain anymore about boring work with ugly data. Someday, many more people will welcome the chance to do this work.

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Comments

Thanks, Ted, for the delightful profile and background on Joe Mako. Scott Davis is certainly right about Joe. Many folks know him through his countless and selfless contributions to the knowledge base and problem solving skills of avid and novice Tableau users (http://www.tableausoftware.com/community/forums). [link fixed] But Joe is also a prototype of a truly humble, kind, passionate, and thoughtful person, who loves and cares about his family and friends very deeply. I happen to know this from personal experience.

I’m sure that Joe will have great success at Lyza. I don’t communicate very much directly with Joe (about 10 DM’s over the last 6 months), but I always get a lot of value out of the interactions we have.

This morning is a perfect example. I share RSS feeds with Joe. This morning the (5) feeds he shared with me provided more value than the other 300 that I follow combined.

Joe is a very intelligent guy and is a very open and sharing person. I hope to have a long association with him and feel the need to share something back with him that will provide as much value to Joe as his sharing has provided me.

The world would be a better place if there were more Joe Mako’s walking around:-)

Thank you for the kind thoughts and well wishes, they are truly appreciated.

I would not be where I am today without the people who create software like Tableau and Lyza, they have enabled me to do things I previously thought were outside of my ability. They have lowered the bar to accomplish great things.

Additionally, I read as much as I can from authors like Stephen Few to gain insight on best practices, as I am always looking for a better way to accomplish tasks.

The community of Data Analysts that I have met online are consistently great people who try to improve the experiences others with data.